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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA IJISTECH (International Journal Of Information System & Technology) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) JURTEKSI Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) IJISTECH RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Bulletin of Computer Science Research Journal of Social Responsibility Projects by Higher Education Forum Jurnal Pengabdian Masyarakat IPTEK BEES: Bulletin of Electrical and Electronics Engineering Jurnal ABDIMAS Budi Darma Bulletin of Multi-Disciplinary Science and Applied Technology KETIK : Jurnal Informatika Jurnal Mitra Pengabdian Farmasi
Fince Tinus Waruwu
UNIVERSITAS BUDI DARMA
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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Journal : Bulletin of Computer Science Research

 1 
Sistem Pendukung Keputusan Dalam Menentukan Kepala Bengkel Terbaik Menggunakan Metode AHP dan WSM Ramadina Pertiwi; Natalia Silalahi; Fince Tinus Waruwu
Bulletin of Computer Science Research Vol. 2 No. 1 (2021): Desember 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

The selection of workshop heads requires an interactive computer-based system that helps decision makers to use data and various models in solving structured problems. One of the selections for the Head of the Workshop is the Decision Support System. Decision Support System is an interactive information system that provides information, modeling and manipulating data. There are many methods used in making decisions in every important data in the form of the number of units per year, the number of services per year, the number of sales of spare parts per year, years of service and discipline, one of which is the AHP and WSM method. AHP is a functional hierarchy with human perceptual input, WSM is a general model, it has been used for different applications such as robotics, processors, and others. The AHP method is used to find the criteria for selecting the best workshop head and the WSM method is used to find the final result of the selection of the workshop head. The results show that the best workshop heads will get rewards in the form of traveling abroad with their families. Thus, the results of the designed system will assist the Company in conducting the selection process for the best workshop heads. however, the calculation only produces the largest value which will be selected as the best alternative
Implementasi Metode Apriori Pada Sistem Persediaan Bahan Kimia Di Laboraturium Forensik Medan Niken Aprilia; Mesran; Fince Tinus Waruwu
Bulletin of Computer Science Research Vol. 2 No. 1 (2021): Desember 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Data mining is a term used to describe the discovery of knowledge in databases. Data mining is a process that uses statistical, mathematical, artificial intelligence, and machine learning techniques to extract and identify useful information and related knowledge from large databases. With data mining, a gem in the form of knowledge will be obtained in a large number of data sets. The Apriori (RF) method is a method that can improve accuracy results, because generating child nodes for each node is done randomly. This method is used to build a decision tree consisting of root nodes, internal nodes, and leaf nodes by taking attributes and data randomly according to the applicable provisions. The root node is the node located at the top, or commonly referred to as the root of the decision tree. The solution for determining chemical stock inventories at the Medan Branch Forensic Laboratory, by applying the Apriori method to determine the correlation coefficient level of frequently used products so that more frequently needed products can be provided to avoid chemical vacancies at the Medan Branch Forensic Laboratory
Co-Authors Adelina, Putri Dani Adelina, Putri Dani Alwin Fau Anda Yanny Armansyah Ritonga Azlan, Azlan Bister Purba Cici Oktaviani Dhea Ulfi Aulia Dito Putro Utomo Efori Buulolo Ginting, Permanan Guidio Leonarde Ginting Harahap, Arahman Harefa, Yubertinus Hotmoko Tumanggor Ilhamsyah Ilhamsyah Imam Saputra Imam Saputra Joni Alpensius Simatupang Kamalia Safitri, Kamalia Kevin Maulana Putra Khairunnisa Khairunnisa Lastri Manik Lince Tomoria Sianturi Maringan Sianturi Mayadi, Mayadi Mesran, Mesran Muhammad Syahrizal Nastiti, Sindy Natalia Silalahi Ndruru, Eferoni Nelly Astuti Hasibuan Niken Aprilia Noveriang Ndruru Pamungkas, R Wisnu Prio Panjaitan, Melda Panjaitan, Melda Pratiwi, Wika Elsa Putri Ramadhani, Putri Ramadhan, Puji S Ramadhan, Puji S Ramadhan, Saidi Ramadina Pertiwi Ratih Anggraini, Ratih Rivalri Kristianto Hondro Rivalry Kristianto Hondro Robiah Al-Adawiyah Saidi Ramadan Siregar Santho Baido Hasian Manullang Saragih, Hosianna Sarwandi Wandi Sayuti, Muhammad Shakya Suci Kamara Siagian, Edward Robinson Sianipar, Sri Handayani Siburian, Henry Kristian Sinambela, Zulhan Sentoso Sri Handayani Sianipar Sri Wulan Sri Wulan, Sri Suginam Surya Darma Nasution Swandi Dedi Arnold Pardede Taronisokhi Zebua Vify Ernanda Wika Elsa Pratiwi Wiwien Ngesti Hia Yep Prie Nofita Zalukhu Zai, Evi Safyan Sari